fairness

Collaborative Mean Estimation Among Heterogeneous Strategic Agents: Individual Rationality, Fairness, and Truthful Contribution ICML 2025 Collapsed Language Models Promote Fairness ICLR 2025 Disparate Conditional Prediction in Multiclass Classifiers ICML 2025 Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies ICML 2025 Edge-Colored Clustering in Hypergraphs: Beyond Minimizing Unsatisfied Edges ICML 2025 ENSUR: Equitable and Statistically Unbiased Recommendation ICML 2025 Finding Wasserstein Ball Center: Efficient Algorithm and The Applications in Fairness ICML 2025 Fraud-Proof Revenue Division on Subscription Platforms ICML 2025 On the Alignment between Fairness and Accuracy: from the Perspective of Adversarial Robustness ICML 2025 Optimal Algorithm for Max-Min Fair Bandit ICML 2025 Preserving AUC Fairness in Learning with Noisy Protected Groups ICML 2025 Solving Probabilistic Verification Problems of Neural Networks using Branch and Bound ICML 2025 Stable Fair Graph Representation Learning with Lipschitz Constraint ICML 2025 Subgroups Matter for Robust Bias Mitigation ICML 2025 Two Tickets are Better than One: Fair and Accurate Hiring Under Strategic LLM Manipulations ICML 2025 Understanding the Unfairness in Network Quantization ICML 2025 You Get What You Give: Reciprocally Fair Federated Learning ICML 2025 Building Socially-Equitable Public Models ICML 2024 Centralized Selection with Preferences in the Presence of Biases ICML 2024 CuTS: Customizable Tabular Synthetic Data Generation ICML 2024 Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression ICML 2024 Fair Classification with Partial Feedback: An Exploration-Based Data Collection Approach ICML 2024 FairEHR-CLP: Towards Fairness-Aware Clinical Predictions with Contrastive Learning in Multimodal Electronic Health Records MLHC 2024 Fair Off-Policy Learning from Observational Data ICML 2024 Individual Fairness in Graph Decomposition ICML 2024